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Remote Data Science R Jobs in North Bethesda, MD

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

You Have: * Experience using data science programming languages such as Python, R, or SQL ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience using data science programming languages such as Python or R ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

... Science, or related field * Proficiency with Python and R. * Experience using large data sets to ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist ... R, or SQL * Knowledge of statistical analysis, predictive modeling, and machine learning methods

A-TEK Inc.

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Minimum seven (7) years of data science experience. * Experience with Python, R, SQL, and machine ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist ... R, or SQL * Knowledge of statistical analysis, predictive modeling, and machine learning methods

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Experience with common scripting languages such as Python or R * Experience with object-oriented ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0248723 Location: Chantilly,VA,US Share job via: Share Data Scientist ... You Have: * Experience with common scripting languages, such as Python or R * Experience with ...

Strategic Education, Inc.

Data Scientist II

Herndon, VA · On-site +1

Strong proficiency in SQL and Python, or R. * Hands-on experience developing and deploying machine ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related ...

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Showing results 21-40

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in North Bethesda, MD

Remote Data Science R information

See North Bethesda, MD salary details

$37.6K

$122.9K

$196.8K

How much do remote data science r jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote data science r in North Bethesda, MD is $122,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What job categories do people searching Remote Data Science R jobs in North Bethesda, MD look for?

The top searched job categories for Remote Data Science R jobs in North Bethesda, MD are:

What cities near North Bethesda, MD are hiring for Remote Data Science R jobs?

Cities near North Bethesda, MD with the most Remote Data Science R job openings:

Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in North Bethesda, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,906 per year, or $59.1 per hour.

Data Scientists and Data Analysts - Future Consideration

Arlington, VA • On-site, Remote

Analytic Services Inc
See more jobs at Analytic Services Incexternal

Full-time

Re-posted 20 days ago

Job description

Interested in joining ANSER as a Data Scientist or Data Analyst, but don't see a current opening that matches your experience?

We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills.

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners.

Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

  • Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
  • Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
  • Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
  • Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
  • Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
  • Ensure the accuracy, integrity, and security of data throughout the analysis process.
  • Stay current with industry trends and tools in data science, analytics, and emerging technologies.
  • Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

  • Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field.  Master's degree is required for senior level roles.
  • 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
  • Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
  • Experience working with large and complex datasets from multiple sources.
  • Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
  • Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
  • Ability to manage multiple priorities in a fast-paced, mission-focused environment.
  • Active security clearance or the ability to obtain one may be required depending on the position.
  • Prior experience and knowledge of defense agencies and their technology policies.

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